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Observation of the hexatic phase in a two-dimensional complex plasma using machine learning
Xin-Chi Du1, Wei Yang1,2, Volodymyr Nosenko3
1College of Physics, Donghua University, Shanghai 201620, People's Republic of China. weiyang@dhu.edu.cn.
Abstract:
Complex plasmas consist of ionized gas and charged solid microparticles, representing the plasma state of soft matter. We apply machine learning methods to investigate a melting transition in a two-dimensional complex plasma. A convolutional neural network is constructed and trained with the numerical simulation. The hexatic phase is successfully identified and the evolution of topological defects is studied during melting transition in both simulations and experiments.
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